A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Approximate Evidential Reasoning Using Local Conditioning and Conditional Belief Functions
2017
Conference on Uncertainty in Artificial Intelligence
We propose a new message-passing belief propagation method that approximates belief updating on evidential networks with conditional belief functions. By means of local conditioning, the method is able to propagate beliefs on the original multiply-connected network structure using local computations, facilitating reasoning in a distributed and dynamic context. Further, by use of conditional belief functions in the form of partially defined plausibility and basic plausibility assignment
dblp:conf/uai/Nguyen17
fatcat:jgtv6ajpijaabogmje2gmi5cv4